Number of public sector healthcare staff at national and state level, with a breakdown by staff type.
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This dataset is tabulated from the operational individual-level records maintained by the Health Informatics Centre (PIK) of the Ministry of Health. The data reflects the number of active healthcare staff as at 31 December each year.
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Number of public sector healthcare staff at national and state level, with a breakdown by staff type.
Name in Dataset | Variable | Definition |
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date (Date) | Date | Date in YYYY-MM-DD format, with MM-DD set to 01-01 as the data is at annual frequency |
state (Categorical) | State | One of 16 states, or Malaysia for national-level data |
staff_type (Categorical) | Staff Type | Either doctors ('doctor'), nurses ('nurse'), community nurses ('nurse_community'), dentists ('dentist'), or all staff ('all') |
staff (Integer) | Staff Count | Number of active staff |
01 Sept 2024, 12:00
N/A
This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A copy of the license is available Here.
Full Dataset (CSV)
Recommended for individuals seeking an Excel-friendly format.
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Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
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Connect directly to the data with Python.
# If not already installed, do: pip install pandas fastparquet
import pandas as pd
URL_DATA = 'https://storage.data.gov.my/healthcare/healthcare_staff.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)
The following code is an example of how to make an API query to retrieve the data catalogue mentioned above. You can use different programming languages by switching the code accordingly. For a complete guide on possible query parameters and syntax, please refer to the official Open API Documentation.
import requests
import pprint
url = "https://api.data.gov.my/data-catalogue?id=healthcare_staff&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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